mlsanityData to 7 Oct 2026

Counterfactuals and Policy Analysis in Structural Models

arXiv 1302.4929 ↗First posted 20 Feb 2013cs.AIcited by 13

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Abstract (arXiv)

Evaluation of counterfactual queries (e.g., "If A were true, would C have been true?") is important to fault diagnosis, planning, determination of liability, and policy analysis. We present a method of revaluating counterfactuals when the underlying causal model is represented by structural models - a nonlinear generalization of the simultaneous equations models commonly used in econometrics and social sciences. This new method provides a coherent means for evaluating policies involving the control of variables which, prior to enacting the policy were influenced by other variables in the system.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Feb 2013.

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Citing papers per year: 2021: 1; 2022: 3; 2023: 2; 2024: 5; 2025: 1; 2026: 1.

13 papers.

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  1. 2021Causes of Effects: Learning individual responses from population datacited by 36
  2. 2022On the Complexity of Counterfactual Reasoningcited by 7
  3. 2022Deep Counterfactual Estimation with Categorical Background Variablescited by 5
  4. 2023Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediatorscited by 4
  5. 2024Identifying Causal Effects Under Functional Dependenciescited by 3
  6. 2024Causal Unit Selection using Tractable Arithmetic Circuitscited by 3
  7. 2022Towards IID representation learning and its application on biomedical datacited by 2
  8. 2023An Algorithm and Complexity Results for Causal Unit Selectioncited by 1
  9. 2025On Transportability for Structural Causal Banditscited by 1
  10. 2024Causality in the Can: Diet Coke's Impact on Fatnesscited by 0
  11. 2024Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causalitycited by 0
  12. 2024See or Guess: Counterfactually Regularized Image Captioningcited by 0
1 more
  1. 2026Bounding Probabilities of Causation with Partial Causal Diagramscited by 0